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How much marsh restoration is enough to deliver wave attenuation coastal protection benefits?

February 7, 2022

As coastal communities grow more vulnerable to sea-level rise and increased storminess, communities have turned to nature-based solutions to bolster coastal resilience and protection. Marshes have significant wave attenuation properties and can play an important role in coastal protection for many communities. Many restoration projects seek to maximize this ecosystem service but how much marsh restoration is enough to deliver measurable coastal protection benefits is still unknown. This question is critical to guiding assessments of cost effectiveness and for funding, implementation, and optimizing of marsh restoration for risk reduction projects. This study uses SWAN model simulations to determine empirical relationships between wave attenuation and marsh vegetation. The model runs consider several different common marsh morphologies (including systems with channels, ponds, and fringing mudflats), vegetation placement, and simulated storm intensity. Up to a 95% reduction in wave energy is seen at as low as 50% vegetation cover. Although these empirical relationships between vegetative cover and wave attenuation provide essential insight for marsh restoration, it is also important to factor in lifespan estimates of restored marshes when making overall restoration decisions. The results of this study are important for coastal practitioners and managers seeking performance goals and metrics for marsh restoration, enhancement, and creation.

Publication Year 2022
Title How much marsh restoration is enough to deliver wave attenuation coastal protection benefits?
DOI 10.3389/fmars.2021.756670
Authors Katherine A. Castagno, Neil K. Ganju, Michael W. Beck, Alison Bowden, Steven B. Scyphers
Publication Type Article
Publication Subtype Journal Article
Series Title Frontiers in Marine Science
Index ID 70228234
Record Source USGS Publications Warehouse
USGS Organization Woods Hole Coastal and Marine Science Center
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